Departments, Centers, & Programs:
Emergency Radiology, Department of Radiology
55 Fruit Street
Boston, MA 02114-2696
Division of Neuroradiology, Department of Radiology
55 Fruit St
Boston, MA 02114-2696
- MD, Brown University Medical School
- MD, Brown University School of Medicine
- Residency, Boston Medical Center
- Residency, Mass General Hospital
- Residency, Massachusetts General Hospital
- Fellowship, Mass General Hospital
American Board Certifications
- Internal Medicine, American Board of Internal Medicine
- Neuroradiology, American Board of Radiology
- Diagnostic Radiology, American Board of Radiology
Accepted Insurance Plans
Note: This provider may accept more insurance plans than shown; please call the practice to find out if your plan is accepted.
The unifying theme of my academic efforts has been the advancement and dissemination of novel methods for imaging brain structure and function in general – and the neurovascular system in particular – through both clinical excellence and translation research, as well as teaching at the local, national, and international levels. I have been recognized as a leader in developing, defining, and communicating the roles of innovative physiological imaging techniques in the management of diverse, clinically important neurological disorders including stroke, cancer, and traumatic brain injury.
* Stroke imaging, CTA/CTP:
My efforts to establish CT angiography (CTA) and perfusion (CTP) imaging as convenient, low cost alternatives to MRI have significantly influenced the triage of stroke and brain tumor patients worldwide. Indeed, many of my high-impact publications of the past 15 years – some highlighted by journal editorials and the lay press - have pioneered the emergency use of CT/CTA/CTP in patient selection for thrombolytic stroke therapies, potentially shifted the accepted paradigm regarding the optimal metric for determining admission infarct size using CTP, and set the agenda for imaging studies of brain tumor angiogenesis, staging, and outcome prediction.
* Technical development of novel imaging modalities and optimization of advanced neuro-imaging techniques.
* General clinical Emergency and Emergency Neuroimaging, population health, and workflow issues: including machine learning and "big data-mining" techniques as applied to these areas.
* Bioengineering: including Electrical Impedance Spectroscopy (EIS) and Deep Brain Stimulation (DBS) electrode development.